Threshold-Based and Iterative Threshold-Based Naive Bayes
Classifier
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Documentation for package ‘tbnb’ version 0.1.0
Help Pages
| itbnb | Fit a Threshold-Based Naive Bayes classifier (Tb-NB / iTb-NB) |
| itbnb.default | Fit a Threshold-Based Naive Bayes classifier (Tb-NB / iTb-NB) |
| itbnb.formula | Fit a Threshold-Based Naive Bayes classifier (Tb-NB / iTb-NB) |
| plot.tbnb | Plot the distribution of decision scores by class |
| predict.tbnb | Predictions from a fitted 'tbnb' model |
| summary.tbnb | Summary of a fitted Tb-NB / iTb-NB model |
| tbnb_available_criteria | Names of the criteria supported by 'itbnb()' for threshold optimisation |
| tbnb_categorize | Categorise the vocabulary of a fitted Tb-NB / iTb-NB model |
| tbnb_embedding | Configure the word-embedding semantic augmentation of the BoW |
| tbnb_hospitality_seeds | Built-in seed words for hospitality / hotel reviews |
| tbnb_iterate | Iterative refinement of the decision threshold (iTb-NB) |
| tbnb_metrics | Compute all binary classification metrics from confusion counts |
| tbnb_optimize_threshold | Cross-validated threshold optimisation for a Tb-NB classifier |
| tbnb_posthoc_plots | Generate post-hoc analysis plots from a fitted Tb-NB / iTb-NB model |
| tbnb_preprocess | Configure the text-preprocessing pipeline |
| tbnb_pvalues | P-values for documents and features (Tb-NB / iTb-NB) |
| toy_reviews | Toy hotel reviews dataset |